• 한국지능시스템학회논문지
• /
• 제19권1호
• /
• pp.122-127
• /
• 2009

본 논문에서는 피험자가 A, B, C, D 글자를 말하는 상상을 할 때 사고중추에서와 Broca's area 에서 EEG 신호를 측정하였으며 이 신호를 Event-Related Spectral Perturbation (ERSP), Inter-Trial Coherence (ITC) 그리고 Event Related Potential (ERP) 방법을 통해 분석하여 보았다. 그 결과 F7, FT7 영역의 뇌파에서 각 문자를 보여주는 자극 제시 후 0$\sim$300ms 동안의 1$\sim$13Hz에서 높은 coherence를 보였으며, P300 이 뚜렷하게 나타나는 것을 확인할 수 있었다. 하지만 ERP를 통해 분석해본 결과 각 글자에 대한 차이를 구분하고자 하였던 처음 연구의 동기와 달리 각 글자를 말할 때 ERP가 약간의 차이를 보이기는 하였으나 각 문자에 대한 차이라거나 이 차이를 통해 문자를 구별할 수 있다고 하기는 어려웠다. 하지만 본 논문에서는 이 실험결과를 통해 기존에 운동관련 뇌 영역에 국한되어 있던 BCI 연구의 한계를 극복하고 보다 다양한 서비스를 제공할 수 있는 응용 시스템을 제안하였다.

• The Journal of Korean Physical Therapy
• /
• 제28권6호
• /
• pp.398-407
• /
• 2016

Purpose: The purpose of this study was to examine the changes in electroencephalogram (EEG) coherence and brain wave activity for first-person perspective action observation (1AO) and third-person perspective action observation (3AO) of healthy subjects. Methods: Thirty healthy subjects participated in this study. EEG was simultaneously recorded during the Relax period, the 1AO, and the 3AO, with event-related desynchronization (ERD) and coherence connectivity process calculations for brain wave (alpha, beta and mu) rhythms in relation to the baseline. Results: Participants showed increased coherence in beta wave activity in the frontal and central areas (p<0.05), during the 1AO using right-hand activity. Conversely, the coherence of the alpha wave decreased statistically significantly decreased in the frontocentral and parieto-occipital networks during the observation of the 1AO and the 3AO. The ERD values were larger than 40% for both central regions but were slightly higher for the C4 central region. The high relative power of the alpha wave during 1AO and 3AO was statistically significantly decreased in the frontal, central, parietal, and occipital regions. However, the relative power of the beta wave during 1AO and 3AO was statistically significantly increased in the parietal and occipital regions. Especially during 1AO, the relative power of the beta wave in the C3 area was statistically significantly increased (p<0.05). Conclusion: These findings suggest that 1AO and 3AO action observations are relevant to modifications of specific brain wave coherence and ERD values. EEG cortical activity during action observation may contribute to neural reorganization and to adaptive neuroplasticity in clinical intervention.

• 대한의용생체공학회:의공학회지
• /
• 제33권1호
• /
• pp.15-24
• /
• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.